
spm-build-analysis
Analyze Swift Package Manager dependencies, package plugins, module variants, and CI-oriented build overhead that slow Xcode builds. Use when a developer suspects packages, plugins, or dependency graph shape are hurting clean or incremental build performance, mentions SPM slowness, package resolution time, build plugin overhead, duplicate module builds from configuration drift, circular dependencies between modules, oversized modules needing splitting, or modularization best practices.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/avdlee/xcode-build-optimization-agent-skill --skill spm-build-analysis- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads spm-build-analysis automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
SPM Build Analysis
Use this skill when package structure, plugins, or dependency configuration are likely contributing to slow Xcode builds.
Core Rules
- Treat package analysis as evidence gathering first, not a mandate to replace dependencies.
- Separate package-graph issues from project-setting issues.
- Do not rewrite package manifests or dependency sources without explicit approval.
What To Inspect
Package.swiftandPackage.resolved- local packages vs remote packages
- package plugin and build-tool usage
- binary target footprint
- dependency layering, repeated imports, and potential cycles
- build logs or timing summaries that show package-related work
Verification Before Recommending
Before including any local package in a recommendation, verify that it is actually part of the project's dependency graph. A Vendor/ directory may contain packages that are not linked to any target.
- Check
project.pbxprojforXCLocalSwiftPackageReferenceentries that reference the package path. - Check
XCSwiftPackageProductDependencyentries to confirm the package's product is linked to at least one target. - If a local package exists on disk but is not referenced in the project, do not include it in build-time recommendations.
When recommending version pins for branch-tracked dependencies:
- Use the helper script to scan all branch-pinned dependencies at once:
This checks
python3 scripts/check_spm_pins.py --project App.xcodeprojgit ls-remote --tagsfor each branch-pinned package and reports which have tags available for pinning. - If no tags exist, recommend pinning to a specific commit revision hash for determinism instead.
- Note which packages are branch-pinned because the upstream simply has no tags, versus packages that have tags but are intentionally tracking a branch.
Focus Areas
- package graph shape and how much work changes trigger downstream
- plugin overhead during local development and CI
- checkout or fetch cost signals that show up in clean environments
- configuration drift that forces duplicate module builds
- risks from package targets that use different macros or options while sharing dependencies
- dependency direction violations (features depending on each other instead of shared lower layers)
- circular dependencies between modules (extract shared contracts into a protocol module)
- oversized modules (200+ files) that widen incremental rebuild scope
- umbrella modules using
@_exported importthat create hidden dependency chains - missing interface/implementation separation that blocks build parallelism
- test targets depending on the app target instead of the module under test
- Swift macro rebuild cascading: heavy use of Swift macros (e.g., TCA, swift-syntax-based libraries) can cause a trivial source change to cascade into near-full rebuilds because macro expansion invalidates downstream modules
swift-syntaxbuilding universally (all architectures) when no prebuilt binary is available, adding significant clean-build overhead- multi-platform build multiplication: adding a secondary platform target (e.g., watchOS) can cause shared SPM packages to build multiple times (e.g., iOS arm64, iOS x86_64, watchOS arm64), multiplying
SwiftCompile,SwiftEmitModule, andScanDependenciestasks
Modular SDK Migration Caveat
Migrating a dependency from a monolithic target to a modular multi-target SDK (e.g., replacing one umbrella library with separate Core, RUM, Logs, Trace modules) does not automatically reduce build time. Modular targets increase the number of SwiftCompile, SwiftEmitModule, and ScanDependencies tasks because each target must be compiled, scanned, and emit its module independently. The build-time trade-off depends on the project's parallelism headroom and how many of the modular targets are actually needed.
When considering a modular SDK migration:
- Compare the total
SwiftCompiletask count before and after. - Benchmark both configurations before recommending the migration for build speed.
- If the motivation is API surface reduction (importing only what you use), note that build time may stay flat or increase while import hygiene improves.
- Only recommend modular SDK migration for build speed when the project currently compiles large portions of the monolithic SDK that it does not use, and the modular alternative lets it skip those unused portions entirely.
Explicit Module Dependency Angle
When the same module appears multiple times in timing output, investigate whether different package or target options are forcing extra module variants. Uniform options often matter more than shaving a small amount of source code.
Reporting Format
For each finding, include:
- evidence
- affected package or plugin
- likely clean-build vs incremental-build impact
- CI impact if relevant
- estimated impact
- approval requirement
If the main problem is not package-related, hand off to xcode-project-analyzer or xcode-compilation-analyzer by reading the target skill's SKILL.md and applying its workflow to the same project context.
Additional Resources
- For the detailed audit checklist, see references/spm-analysis-checks.md
- For the shared recommendation structure, see references/recommendation-format.md
- For source citations, see references/build-optimization-sources.md
FAQ
What does the spm-build-analysis skill do?
Analyze Swift Package Manager dependencies, package plugins, module variants, and CI-oriented build overhead that slow Xcode builds. Use when a developer suspects packages, plugins, or dependency graph shape are hurting clean or incremental build performance, mentions SPM slowness, package resolution time, build plugin overhead, duplicate module builds from configuration drift, circular dependencies between modules, oversized modules needing splitting, or modularization best practices.
How do I install spm-build-analysis?
Run npx skills add https://github.com/avdlee/xcode-build-optimization-agent-skill --skill spm-build-analysis in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/spm-build-analysis/ (personal) or .claude/skills/spm-build-analysis/ (project).
Which AI agents can use spm-build-analysis?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is spm-build-analysis safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains spm-build-analysis?
It is published by avdlee in avdlee/xcode-build-optimization-agent-skill. It has 3,399 recorded installs.
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